TY - JOUR
T1 - Production scheduling under demand uncertainty in the presence of feedback
T2 - Model comparisons, insights, and paradoxes
AU - Avadiappan, Venkatachalam
AU - Gupta, Dhruv
AU - Maravelias, Christos T.
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - We investigate the importance of accounting for uncertainty a priori in production scheduling in the presence of feedback. First, we examine different optimization models (deterministic, robust, and stochastic programming), used to generate the open-loop schedules and describe the modeling of uncertainty in each case. Second, we present a formal procedure for carrying out closed-loop simulations in order to study and compare the closed-loop performance across the models as attributes such as the demand uncertainty observation horizon, order size max-mean relative difference, and load on the process network are varied. Finally, we analyze the results of the simulations to draw insights on how the above attributes affect the closed-loop performance of the different models across networks and expound on the paradoxes observed.
AB - We investigate the importance of accounting for uncertainty a priori in production scheduling in the presence of feedback. First, we examine different optimization models (deterministic, robust, and stochastic programming), used to generate the open-loop schedules and describe the modeling of uncertainty in each case. Second, we present a formal procedure for carrying out closed-loop simulations in order to study and compare the closed-loop performance across the models as attributes such as the demand uncertainty observation horizon, order size max-mean relative difference, and load on the process network are varied. Finally, we analyze the results of the simulations to draw insights on how the above attributes affect the closed-loop performance of the different models across networks and expound on the paradoxes observed.
KW - Mixed-integer programming
KW - Online scheduling
KW - Real-time optimization
UR - http://www.scopus.com/inward/record.url?scp=85141338254&partnerID=8YFLogxK
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U2 - 10.1016/j.compchemeng.2022.108028
DO - 10.1016/j.compchemeng.2022.108028
M3 - Article
AN - SCOPUS:85141338254
SN - 0098-1354
VL - 168
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
M1 - 108028
ER -